10c3e3eb94
This change targets compute nodes that run on Windows Hyper-v / Server 2012 or Windows 8 or newer. It retrieves the memory usage associated with the given instance and returns a MemoryUsageStats object containing the value. This change is particularly useful for compute nodes that have dynamic memory enabled in nova.conf. DocImpact Implements: blueprint hyper-v-memory-metrics Change-Id: I6496133c3c49ebcc37873004ed58f4d37dbbdd9c
83 lines
3.0 KiB
Python
83 lines
3.0 KiB
Python
# Copyright 2013 Cloudbase Solutions Srl
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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"""Implementation of Inspector abstraction for Hyper-V"""
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from oslo_config import cfg
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from oslo_utils import units
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from ceilometer.compute.pollsters import util
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from ceilometer.compute.virt.hyperv import utilsv2
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from ceilometer.compute.virt import inspector as virt_inspector
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from ceilometer.openstack.common import log
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CONF = cfg.CONF
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LOG = log.getLogger(__name__)
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class HyperVInspector(virt_inspector.Inspector):
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def __init__(self):
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super(HyperVInspector, self).__init__()
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self._utils = utilsv2.UtilsV2()
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def inspect_cpus(self, instance):
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instance_name = util.instance_name(instance)
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(cpu_clock_used,
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cpu_count, uptime) = self._utils.get_cpu_metrics(instance_name)
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host_cpu_clock, host_cpu_count = self._utils.get_host_cpu_info()
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cpu_percent_used = (cpu_clock_used /
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float(host_cpu_clock * cpu_count))
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# Nanoseconds
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cpu_time = (long(uptime * cpu_percent_used) * units.k)
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return virt_inspector.CPUStats(number=cpu_count, time=cpu_time)
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def inspect_memory_usage(self, instance, duration=None):
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instance_name = util.instance_name(instance)
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usage = self._utils.get_memory_metrics(instance_name)
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return virt_inspector.MemoryUsageStats(usage=usage)
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def inspect_vnics(self, instance):
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instance_name = util.instance_name(instance)
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for vnic_metrics in self._utils.get_vnic_metrics(instance_name):
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interface = virt_inspector.Interface(
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name=vnic_metrics["element_name"],
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mac=vnic_metrics["address"],
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fref=None,
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parameters=None)
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stats = virt_inspector.InterfaceStats(
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rx_bytes=vnic_metrics['rx_mb'] * units.Mi,
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rx_packets=0,
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tx_bytes=vnic_metrics['tx_mb'] * units.Mi,
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tx_packets=0)
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yield (interface, stats)
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def inspect_disks(self, instance):
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instance_name = util.instance_name(instance)
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for disk_metrics in self._utils.get_disk_metrics(instance_name):
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disk = virt_inspector.Disk(device=disk_metrics['instance_id'])
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stats = virt_inspector.DiskStats(
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read_requests=0,
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# Return bytes
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read_bytes=disk_metrics['read_mb'] * units.Mi,
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write_requests=0,
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write_bytes=disk_metrics['write_mb'] * units.Mi,
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errors=0)
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yield (disk, stats)
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